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The unbounded fixed-pivot flow has first-order grid error
Statement
Let be the continuous solution of Continuous-size coagulation-fragmentation weak model on , and let be the no-cutoff pivot solution of Unbounded-grid fixed-pivot coagulation-fragmentation dynamics on a grid of maximum spacing , initialized by . Then for , where is the quadrature constant in Fixed-pivot projection has first-order bounded-Lipschitz kernel quadrature error evaluated at the uniform number bound for , and is the vector-field stability constant for the projected continuous paths and pivot solutions. Both constants are finite and independent of .
Facts & Assumptions
Given: Bounded-kernel moment bounds, first-order fixed-pivot quadrature consistency, and grid-field bounded-Lipschitz stability.
Continuous-size coagulation-fragmentation weak model: the continuous path satisfies in integral form.
Unbounded-grid fixed-pivot coagulation-fragmentation dynamics: is a linear map from continuous measures to grid measures and .
Fixed-pivot projection has first-order bounded-Lipschitz kernel quadrature error: on the bounded-number set.
Bounded-kernel measure solutions conserve mass and control number and second moments: is constant and is bounded on .
Unbounded-grid fixed-pivot dynamics are globally well posed and stable: the pivot vector field is bounded-Lipschitz in on positive paths with bounded number, and preserves and .
Fixed-pivot weights are nonnegative and reproduce number and mass: each pivot projection has expected displacement at most .
Proof
For every , [F6] gives , so the linear projection is bounded on . Set ; applying this bounded linear map to the integral equation [F1] gives . The total-number-one and first-moment identities in [F2] and [F6] give and , so [F5] supplies a -independent number bound for both and .
Subtract the equations for and and add and subtract . The vector-field term is bounded by using [F5]; the residual is at most by [F3]. Therefore , with . Set . Then and . If , integrating gives ; if , . Since , this is at most .
For any test admissible in [F3], its expected pivot value differs from its original value by at most its Lipschitz constant times the expected displacement. [F6] therefore yields . The triangle inequality with step 2.1 proves the Statement.
Depends on
- Continuous-size coagulation-fragmentation weak model
- Unbounded-grid fixed-pivot coagulation-fragmentation dynamics
- Bounded-Lipschitz discrepancy for finite measures
- Fixed-pivot weights are nonnegative and reproduce number and mass
- Fixed-pivot projection has first-order bounded-Lipschitz kernel quadrature error
- Bounded-kernel measure solutions conserve mass and control number and second moments
- Unbounded-grid fixed-pivot dynamics are globally well posed and stable
Used by
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Sources
- Jitendra Kumar, Numerical approximations of population balance equations in particulate systems, Chapter 2, §2.2 (standard reference, not scraped)
- Philippe Laurençot, Weak compactness techniques and coagulation equations, §§3.1–3.4 (standard reference, not scraped)